Wangsa Ukay (Bukit Antarabangsa)
2, Jalan Wangsa 2, Bukit Antarabangsa, 68000 Ampang, Selangor, Malaysia
2, Jalan Wangsa 2, Bukit Antarabangsa, 68000 Ampang, Selangor, Malaysia
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Wangsa 3
|
RM 1,000,000
|
RM 596
|
1,679 sqft
|
|
|
|
Jalan Wangsa 9
|
RM 820,000
|
RM 488
|
1,679 sqft
|
|
Posts about Wangsa Ukay (Bukit Antarabangsa)
No posts about Wangsa Ukay (Bukit Antarabangsa) yet. Be the first to share what’s happening here.
Other Areas in Bandar Hulu Kelang
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 910,000
RM 542 psfMedian transaction price
2, Jalan Wangsa 2, Bukit Antarabangsa, 68000 Ampang, Selangor, Malaysia
MapsWangsa Ukay (Bukit Antarabangsa) in Gombak, Selangor recorded 2 subsale transactions in 2021, with a median price of RM 910K and a median price per square foot (PSF) of RM 542.
This area contains both residential and commercial properties. View 19 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 910K, with most transactions falling within a stable range of RM 820K to RM 1.00 million, and a typical market range of RM 820K to RM 1.00 million.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
For price per square foot, the median is RM 542, with most transactions between RM 488 and RM 596. The usual range is RM 517.31 to RM 566.56, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 49.25 and an average deviation (MAD) of RM 54 indicate a highly stable PSF trend across properties.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.